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- W1754931551 abstract "A new method for automatically acquiring case frame patterns from large corpora is proposed. In particular, the problem of generalizing values of a case frame slot for a verb is viewed as that of estimating a conditional probability distribution over a partition of words, and a new generalization method based on the Minimum Description Length (MDL) principle is proposed. In order to assist with efficiency, the proposed method makes use of an existing thesaurus and restricts its attention to those partitions that are present as cuts in the thesaurus tree, thus reducing the generalization problem to that of estimating a cut of the thesaurus tree. An efficient algorithm is given, which provably obtains the optimal tree cut model for the given frequency data of a case slot, in the sense of MDL. Case frame patterns obtained by the method were used to resolve PP-attachment ambiguity. Experimental results indicate that the proposed method improves upon or is at least comparable with existing methods." @default.
- W1754931551 created "2016-06-24" @default.
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- W1754931551 date "1998-06-01" @default.
- W1754931551 modified "2023-10-01" @default.
- W1754931551 title "Generalizing case frames using a thesaurus and the MDL principle" @default.
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